Welcome to Interactive Visualizations!

Date Created: October 01, 2025

This presentation showcases the power of Plotly for creating interactive, web-based visualizations in R.

What makes Plotly special?

• Hover for details
• Zoom and pan
• Click to filter
• Download plots
• Mobile-friendly

Dataset: mtcars

We’ll explore the classic mtcars dataset with interactive plots.

Variables: - mpg: Miles per gallon - hp: Horsepower
- wt: Weight (1000 lbs) - cyl: Number of cylinders

Interactive Scatter Plot

Try hovering over the points! Notice the relationship between weight and fuel efficiency.

3D Interactive Plot

Try rotating the plot! Click and drag to explore different angles.

Box Plot: Distribution by Cylinders

Insight: Fewer cylinders generally mean better fuel efficiency.

Bar Chart: Average MPG by Cylinder

Correlation Heatmap

Strong negative correlations (blue) between weight/cylinders and fuel efficiency.

Line Chart: Performance Comparison

Animated Bubble Chart

Click play! Watch how cars are distributed across the power spectrum.

Key Takeaways

What we learned:

1. ✅ Weight matters: Heavier cars consume more fuel
2. ✅ Cylinders count: More cylinders = less efficiency
3. ✅ Power trade-off: High horsepower typically means lower MPG
4. ✅ Interactive is better: Plotly makes data exploration intuitive

Why use Plotly?

• Professional-looking plots with minimal code
• Interactivity engages your audience
• Web-ready and shareable
• Works seamlessly with R Markdown

Resources & Next Steps

Learn More:

• 📚 Official Plotly R Documentation
• 📊 Plotly R Graphing Library
• 💡 R Graph Gallery

Try it yourself:

# Basic example
library(plotly)
plot_ly(data = iris,
        x = ~Sepal.Length,
        y = ~Petal.Length,
        color = ~Species)

Publishing options: - GitHub Pages (free hosting) - RPubs (easy one-click publishing) - NeoCities (simple hosting)

Thank You!